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A Review of Automatic Music Generation Based on Performance RNN
  • Jiyanbo Cao ,
  • Jinan Fiaidhi ,
  • Maolin Qi
Jiyanbo Cao
Lakehead University

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Jinan Fiaidhi
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Maolin Qi
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This paper has reviewed the deep learning techniques which used in music generation. The research was based on Sageev Oore’s proposed LSTM based recurrent neural network (Performance RNN). We have study the history of automatic music generation, and now we are using a state of the art techniques to achieve this mission. We have conclude the process of making a MIDI file to a structure as input of Performance RNN and the network structure of it.